Evaluation

Core production concerns for building generative AI applications with Amazon Bedrock.

Evaluate retrieval, generation, safety, reliability, latency, and cost instead of relying on a single model score.

A practical framework for evaluating LLM, RAG, and agent systems before and after production release.

A practical framework for writing, testing, versioning, and evaluating prompts in production AI systems.

Diagnose unsupported RAG answers by separating retrieval, context construction, model behavior, and evaluation failures.